Senior Data Engineer, SQL, Informatica

This is a fully remote position, open to applicants in Brazil, +1 more country.

📋 Description

• Acquire, curate, and publish data for analytical and operational purposes across both on-premises and cloud environments.

• Design, develop, test, deploy, and maintain data products.

• Provide consultation on data projects and lead the design, development, and implementation of data products.

• Implement code management and integration in alignment with architectural guidelines and data governance protocols.

• Create advanced data building blocks, data models, and data flows for reporting, dashboards, data feeds, and data science initiatives.

• Develop access methods for business users to engage with structured and unstructured data.

• Utilize common data models, natural language processing, data transformations, AI, statistical analyses, and data validation techniques.

• Convert business data narratives into technical work breakdowns and time estimates for schedules or agile sprints.

• Design and maintain scalable streaming and batch data pipelines.

• Construct API integrations to accommodate growing data volume and complexity.

• Prepare and cleanse data for subsequent reporting utilizing visualization and AI/ML tools.

• Create and execute data project plans independently.

• Mentor and support junior associates as required.

• Carry out additional responsibilities as assigned.

⛳️ Requirements

• Proven experience in acquiring, curating, and publishing data in both on-premises and cloud settings.

• Familiarity with big data, relational and non-relational databases, cloud environments, programming languages, and reporting tools.

• Proficiency in translating business analytic requests into tasks for design, development, testing, deployment, and production maintenance.

• Understanding of data governance principles.

• Experience in developing scalable streaming and batch data pipelines.

• Expertise in building API integrations.

• Competence in preparing and cleansing data for downstream reporting and AI/ML applications.

• Capability to create data models, data flows, data feeds, dashboards, and resources for data science research and exploration.

• Ability to independently manage complex data projects and offer guidance to junior associates.

• Experience working with both structured and unstructured data.

🏝️ Benefits

• A competitive salary along with performance-based bonuses.

• A comprehensive benefits package.

• Flexible work arrangements, including options for remote and/or office-based work.

• A vibrant and inclusive workplace culture within a globally recognized organization.

• Private Health Insurance.

• Paid Time Off.

• Opportunities for Training & Development in collaboration with prestigious companies.